Forecasting spatial pattern of land cover changes using cellular automata / Nur Aisyah Mohd Baharudin

Land cover changes prediction is important for a better understanding of dynamic landscape change and consciousness on the sustainable development. Geographical information system (GIS) and remote sensing have been used in this research as its consider as the most effective method in order to mon...

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Main Author:	Mohd Baharudin, Nur Aisyah
Format:	Thesis
Language:	English
Published:	2018
Subjects:	Remote Sensing Geographic information systems
Online Access:	https://ir.uitm.edu.my/id/eprint/22532/1/TD_NUR%20AISYAH%20MOHD%20BAHARUDIN%20AP%20R%2018_5.PDF
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id	my-uitm-ir.22532
record_format	uketd_dc
spelling	my-uitm-ir.225322019-01-11T01:43:25Z Forecasting spatial pattern of land cover changes using cellular automata / Nur Aisyah Mohd Baharudin 2018-12 Mohd Baharudin, Nur Aisyah Remote Sensing Geographic information systems HD Industries. Land use. Labor Land cover changes prediction is important for a better understanding of dynamic landscape change and consciousness on the sustainable development. Geographical information system (GIS) and remote sensing have been used in this research as its consider as the most effective method in order to monitor the changes of the land use and land cover. The aim of this research is to forecast land use 2020 refer to land cover changes between year 1997 and 2008 using Cellular Automata (CA) and evaluate it with existing development planning land use of Perlis for 2020. The prediction of the CA model was successfully applied into this research by using modelling tools namely Methods of Land Use Change Evaluation (MOLUSCE plugin in Quantum GIS). The processing involving two stages which are the data preparation and prediction of land use. For the data land use of Perils for year 1997 and 2008 are have been classified into four (4) classes while the existing planning map for year 2020 as the reference to the prediction also have been classified equivalent with the land use classes. The validation result of the prediction shows 78% similarity with the existing Development Land Use Planning 2020, which indicates the validity of the model for the future prediction. In conclusion, based on the behavior of cells changes using CA method can be a useful tools for government planners to observe development pattern in this country and enable them to use land source in better way. 2018-12 Thesis https://ir.uitm.edu.my/id/eprint/22532/ https://ir.uitm.edu.my/id/eprint/22532/1/TD_NUR%20AISYAH%20MOHD%20BAHARUDIN%20AP%20R%2018_5.PDF other en public degree Universiti Teknologi Mara Perlis Faculty of Architecture, Planning and Surveying
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Remote Sensing Geographic information systems Remote Sensing
spellingShingle	Remote Sensing Geographic information systems Remote Sensing Mohd Baharudin, Nur Aisyah Forecasting spatial pattern of land cover changes using cellular automata / Nur Aisyah Mohd Baharudin
description	Land cover changes prediction is important for a better understanding of dynamic landscape change and consciousness on the sustainable development. Geographical information system (GIS) and remote sensing have been used in this research as its consider as the most effective method in order to monitor the changes of the land use and land cover. The aim of this research is to forecast land use 2020 refer to land cover changes between year 1997 and 2008 using Cellular Automata (CA) and evaluate it with existing development planning land use of Perlis for 2020. The prediction of the CA model was successfully applied into this research by using modelling tools namely Methods of Land Use Change Evaluation (MOLUSCE plugin in Quantum GIS). The processing involving two stages which are the data preparation and prediction of land use. For the data land use of Perils for year 1997 and 2008 are have been classified into four (4) classes while the existing planning map for year 2020 as the reference to the prediction also have been classified equivalent with the land use classes. The validation result of the prediction shows 78% similarity with the existing Development Land Use Planning 2020, which indicates the validity of the model for the future prediction. In conclusion, based on the behavior of cells changes using CA method can be a useful tools for government planners to observe development pattern in this country and enable them to use land source in better way.
format	Thesis
qualification_level	Bachelor degree
author	Mohd Baharudin, Nur Aisyah
author_facet	Mohd Baharudin, Nur Aisyah
author_sort	Mohd Baharudin, Nur Aisyah
title	Forecasting spatial pattern of land cover changes using cellular automata / Nur Aisyah Mohd Baharudin
title_short	Forecasting spatial pattern of land cover changes using cellular automata / Nur Aisyah Mohd Baharudin
title_full	Forecasting spatial pattern of land cover changes using cellular automata / Nur Aisyah Mohd Baharudin
title_fullStr	Forecasting spatial pattern of land cover changes using cellular automata / Nur Aisyah Mohd Baharudin
title_full_unstemmed	Forecasting spatial pattern of land cover changes using cellular automata / Nur Aisyah Mohd Baharudin
title_sort	forecasting spatial pattern of land cover changes using cellular automata / nur aisyah mohd baharudin
granting_institution	Universiti Teknologi Mara Perlis
granting_department	Faculty of Architecture, Planning and Surveying
publishDate	2018
url	https://ir.uitm.edu.my/id/eprint/22532/1/TD_NUR%20AISYAH%20MOHD%20BAHARUDIN%20AP%20R%2018_5.PDF
_version_	1783733822593957888

Forecasting spatial pattern of land cover changes using cellular automata / Nur Aisyah Mohd Baharudin

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